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features
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Description

ProcEdge Regulatory Information Management System (RIMS) provides companies with a powerful, centralized platform to manage complex regulatory requirements for their entire global product portfolio. Moving away from traditional Excel-based tracking, it offers a single source of truth that connects multiple departments, providing 360-degree visibility and real-time updates on product registration, license maintenance, and post-registration activities. The platform enables detailed planning and tracking of submission timelines tailored to country-specific regulations, helping users meet compliance standards and reduce costly errors. It features configurable data models, automated email notifications, and a robust workflow engine that streamlines query management and response tracking. ProcEdge RIMS complies with global standards like IDMP and regulatory frameworks including GxP, GDPR, and Part 11. By eliminating redundant systems and manual data entry, it significantly reduces operational expenses and accelerates health agency approvals. The system’s audit trails and electronic signature capabilities ensure data integrity and regulatory reliability. Overall, it empowers regulatory professionals to make faster, informed decisions and maintain product marketability efficiently.

Description

You determine the cluster size, node specifications, and a range of services, while Yandex Data Proc effortlessly sets up and configures Spark, Hadoop clusters, and additional components. Collaboration is enhanced through the use of Zeppelin notebooks and various web applications via a user interface proxy. You maintain complete control over your cluster with root access for every virtual machine. Moreover, you can install your own software and libraries on active clusters without needing to restart them. Yandex Data Proc employs instance groups to automatically adjust computing resources of compute subclusters in response to CPU usage metrics. Additionally, Data Proc facilitates the creation of managed Hive clusters, which helps minimize the risk of failures and data loss due to metadata issues. This service streamlines the process of constructing ETL pipelines and developing models, as well as managing other iterative operations. Furthermore, the Data Proc operator is natively integrated into Apache Airflow, allowing for seamless orchestration of data workflows. This means that users can leverage the full potential of their data processing capabilities with minimal overhead and maximum efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

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Integrations

Apache Airflow
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Apache Zeppelin
Hadoop
Matplotlib
NumPy
Python
TensorFlow
Yandex Cloud
Yandex DataSphere
pandas
scikit-image

Integrations

Apache Airflow
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Apache Zeppelin
Hadoop
Matplotlib
NumPy
Python
TensorFlow
Yandex Cloud
Yandex DataSphere
pandas
scikit-image

Pricing Details

$300
Free Trial
Free Version

Pricing Details

$0.19 per hour
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Sarjen Systems Pvt Ltd

Founded

1998

Country

India

Website

rims.sarjen.com

Vendor Details

Company Name

Yandex

Founded

1997

Country

Russia

Website

cloud.yandex.com/en/services/data-proc

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